Chris is a third-year Ph.D. student in the Human-Computer Interaction Institute at Carnegie Mellon University. His research interests primarily focus on novel input methods and interaction technologies - especially those that leverage existing hardware in new and compelling ways. Over the past four years, Chris has worked on several projects in the area of social computing and input methods at IBM Research, AT&T Labs and most recently, Microsoft Research.
Input devices, interaction techniques, sensors, inexact and inattentive interaction.